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Cal Poly

Also known as: Cal Poly Mustangs
Program History

2013 Team Stats (4 games)

62.5
PPG
64.0
Opp
-1.5
Margin
42.9%
FG%
32.9%
3P%
66.2%
FT%
31.8
RPG
13.3
APG
8.5
TO
-
Est. poss./game
61.9
Adj PPG
61.3
Adj Opp PPG
#154
Scoring Rank

Model Outputs

2012-2013
Catalog

Output is shown as model rating with league rank in parentheses when available.

Model Output Notes
Elo Elo Streaming paired-comparison rating with recency baked into sequential updates. More โ†’ 987 (#180) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1027 (#156) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +102 elo More โ†’ 1052 (#97) HCA +102 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +3.1 More โ†’ +0.7 (#152) HCA +3.1
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.2 More โ†’ -3.1 (#213) HCA +3.2
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.507 (#165) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +0.0 More โ†’ 0.500 (#162) AdjNet +0.0
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -0.1 More โ†’ 0.498 (#162) AdjNet -0.1
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 61.9 | AdjD 61.3 More โ†’ 0.515 (#154) AdjO 61.9 | AdjD 61.3
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 60.4 | AdjD 61.3 More โ†’ 0.478 (#194) AdjO 60.4 | AdjD 61.3
Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. Blend of Elo, BT, Margin, PythLog, PtsOD More โ†’ 0.506 (#171) Blend of Elo, BT, Margin, PythLog, PtsOD
Recency Ensemble Recency Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and recency points off/def. Blend of Elo, BT, Margin, PythLog, PtsOD More โ†’ 0.498 (#172) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 114 | GP 30 More โ†’ 1010 (#168) RD 114 | GP 30

2013 Schedule & Results

Date Vs/At Opponent Result Score
2012-11-09 @ TCU Horned Frogs L 46 - 53
2012-11-15 vs Northern Colorado Bears W 64 - 53
2012-11-19 vs Fresno State Bulldogs L 67 - 76
2012-11-25 @ UCLA Bruins W 70 - 68
2012-12-01 @ Saint Mary's Gaels L 68 - 86
2012-12-08 vs Menlo Oaks W 89 - 43
2012-12-11 @ Nevada Wolf Pack L 56 - 69
2012-12-14 vs Eastern New Mexico Greyhounds W 60 - 57
2012-12-17 @ Santa Clara Broncos L 64 - 72
2012-12-20 @ Washington Huskies L 62 - 75
2012-12-29 @ UC Riverside Highlanders W 58 - 48
2013-01-03 vs Long Beach State Beach W 79 - 73
2013-01-05 vs UC Irvine Anteaters W 72 - 67
2013-01-10 @ UC Davis Aggies L 67 - 69
2013-01-12 @ Pacific Tigers L 55 - 77
2013-01-19 @ UC Santa Barbara Gauchos L 81 - 83
2013-01-24 vs Hawai'i Rainbow Warriors W 88 - 59
2013-01-26 vs Cal State Northridge Matadors W 75 - 64
2013-01-30 @ UC Irvine Anteaters L 45 - 52
2013-02-02 @ Long Beach State Beach L 48 - 50
2013-02-07 vs Pacific Tigers W 67 - 62
2013-02-09 vs UC Davis Aggies W 68 - 53
2013-02-16 vs UC Santa Barbara Gauchos W 67 - 49
2013-02-20 @ Cal State Fullerton Titans L 60 - 77
2013-02-23 vs Loyola Marymount Lions W 63 - 60
2013-02-28 @ Cal State Northridge Matadors W 81 - 61
2013-03-02 @ Hawai'i Rainbow Warriors W 64 - 61
2013-03-07 vs UC Riverside Highlanders W 68 - 62
2013-03-09 vs Cal State Fullerton Titans W 62 - 60
2013-03-14 vs UC Davis Aggies W 64 - 41
2013-03-15 @ Pacific Tigers L 53 - 55
2013-03-20 @ Weber State Wildcats L 43 - 85

2013 Roster

Minutes by Position

Each player's share of the team's minutes per game (season minutes over the roster's), placed by position, so every column is one game's minutes. Use the labels or legend to isolate how each player absorbs guard-to-big minutes.

Player Pos GP MIN PTS REB AST STL BLK TO FGA Numbers PM PM GP PM/G PM/40 FG% 3P% FT% RAPM TS% eFG%
Chris Eversley Chris Eversley F 30 32.9 15.4 7.0 2.0 0.7 0.1 1.8 4.6 18.9 -9 20 -0.5 -0.6 46.4 41.2 71.4 2.68 142.3 48.9
Dylan Royer Dylan Royer G 32 28.1 10.1 2.4 1.1 0.8 0.1 1.1 2.8 10.6 -28 21 -1.3 -2.1 46.2 50.0 90.0 -0.82 168.8 65.4
Brian Bennett Brian Bennett F 32 23.9 9.3 4.6 0.8 0.4 0.3 0.7 2.5 12.2 -30 21 -1.4 -2.5 55.0 0.0 69.2 0.49 174.4 55.0
Kyle Odister Kyle Odister G 30 17.9 6.5 1.1 0.8 0.5 0.1 0.8 1.8 6.4 -38 19 -2.0 -5.0 39.6 31.6 54.5 -1.04 168.6 50.9
Reese Morgan Reese Morgan G 32 19.1 5.9 2.3 1.1 0.8 0.1 0.4 1.4 8.3 -31 21 -1.5 -3.5 23.9 25.8 93.3 -1.77 178.7 32.6
Drake U'u Drake U'u G 32 21.8 5.3 3.2 2.5 0.6 0.0 1.2 1.2 9.2 -55 21 -2.6 -5.5 37.5 30.0 55.0 -2.61 147.6 41.2
Chris O'Brien Chris O'Brien G 31 20.7 5.1 2.5 1.8 0.5 0.3 1.0 1.1 8.1 -21 21 -1.0 -2.0 54.3 80.0 84.0 0.03 170.7 65.7
Jamal Johnson Jamal Johnson G 32 23.5 4.4 2.2 3.8 0.9 0.1 1.4 1.7 8.3 -45 21 -2.1 -3.8 32.7 33.3 71.4 -2.7 109.7 37.3
Joel Awich Joel Awich F 24 10.7 2.6 1.8 0.1 0.3 0.5 0.6 0.5 4.2 -15 17 -0.9 -3.7 54.5 20.0 100.0 -0.76 271.0 59.1
Zach Gordon Zach Gordon F 31 8.7 2.2 2.3 0.1 0.3 0.2 0.3 0.5 4.4 -8 20 -0.4 -1.9 57.1 0 66.7 -1.2 192.1 57.1
Anthony Silvestri Anthony Silvestri F 11 2.9 0.7 0.7 0.0 0.0 0.0 0.3 0.3 0.9 -15 7 -2.1 -36.3 66.7 50.0 0 -2.96 133.3 83.3

Numbers/Game vs RAPM

X-axis = Numbers/Game (PTS+REB+AST+STL+BLK-TO-FGA), Y-axis = RAPM.

Advanced: Numbers = PTS+REB+AST+STL+BLK-TO-FGA, PM = total +/-, PM/G = per game, PM/40 = per 40 minutes, RAPM = Regularized Adj Plus-Minus, TS% = True Shooting, eFG% = Effective FG